Overall Summary about this role: The PrincipalConsultant, Advanced Analytics: Data Science contributesstatistical capabilities and methodological leadership at allstages of projects, from planning to completion. The role wouldwork with junior team members in designing, developing, anddelivering client solutions across multiple projects – leveragingcompetencies in statistical theory, data analysis andinterpretation, regression analysis, machine learning algorithmdevelopment, deep learning, and natural language processingtechniques. The individual must have a Master's or Doctoral Degreein Health Economics, Health Policy, Statistics, Biostatistics,Mathematics, or other quantitative fields. They should beproficient in data analytics and statistical software/tools like R,Stata, Python, and SAS. Essential Knowledge, Experience, Skills andEducation you will need to have to qualify for this role: Knowledgeand Experience; - Strong basis in fundamental statistical conceptsand methods and familiarity with techniques such as development ofpredictive equations, survival analysis (including parametricmethods), longitudinal data analysis, meta-analysis, mixedtreatment comparison, and other hierarchical analysis techniques. -Familiarity with machine learning techniques and Bayesianstatistics is a plus. - Strong statistical programming skills withstandard software, including SAS, R, or STATA. - Strongcommunication (spoken and written) and problem-solving skills, andan ability to learn quickly. - Ability to communicate effectively,in non-technical terms, with project team members. - Ability towork well in a team as well as independently and be able to takeleadership role with regard to methodological elements in projects.Skills: - Six or more years of working experience with healthcareconsulting or pharmaceutical organizations. - Familiarity withmachine learning use cases in HEOR including the prediction of riskof various health care events; the causal estimation of treatmenteffects; developing models for economic evaluation; and model/datatransparency. - Willingness to work under pressure to meet multipleand sometimes competing deadlines. - Excellent scientific, businesswriting, and presentation skills with close attention to detail. -Exceptional communication skills, especially in the relaying oftechnical information and project concepts. - Competent in writtenand spoken English. - Proficient in SAS (Base, Stat, Graph, Macro),R, SPSS, STATA, and Python. Education: - MSc or PhD in DataScience, Medical Statistics, Computational Biology, HealthEconomics, Health Policy, Statistics, Biostatics, Mathematics orother quantitative fields. Key Accountabilities: Project Execution- To direct project teams in the design, development and deliveryof client solutions across multiple projects. - To provide highlevel input to the development of client deliverables including theprovision of support to the delivery team in the development ofstrategic recommendations tailored to individual projects. - Toprovide advice and support to existing clients both within andoutside of projects. - To help manage existing business accountsand identify new business opportunities for Parexel with existingand new clients. - To proactively mentor and develop members of theteam to help achieve best in class status. - To ensure the optimallevels of client management are maintained at all levels and thatthe training and support to achieve best practice consultancystandards are achieved. - To ensure quality standards are adheredto on all projects and new methodologies and techniques areadequately assessed and implemented. - To foster thought leadershipopportunities in Advanced Analytics. - To work with SeniorManagement colleagues to identify further service opportunities.Additional Responsibilities The Principal Consultant, AdvancedAnalytics is responsible for ensuring that all assigned projectsare being conducted in an efficient manner and that quality andclient satisfaction is maximized at all times -- ensuring thedirection of the project and the quality of the deliverables meetthe project objectives and the client needs. Further, PrincipalConsultants are expected to support and train the Senior associatesand Associates in their daily duties and to flag any areas of acutetraining needs to their line managers. Supported by the seniorstaff and Business Development partners, the Principal Consultantis responsible for maintaining client relationships on theirprojects. In addition, the individual will be expected tocontribute to the continuing growth and improvement of the businessunit through taking ownership of company and business unitprocesses and initiatives as well as contributing to the SeniorManagement Team's focus and direction. The Principal Consultantwill also be expected to meet stated targets for new businessdevelopment. Candidates will be part of multi-disciplinary researchteams and will be expected to provide statistical expertise andmethodological leadership at all stages of projects from planningto completion. Duties will vary according to the nature of theprojects. These may include independently contributing to thepreparation of study protocols, data manipulation and analysis,development of machine learning algorithms, application of deeplearning and natural language processing techniques, and assistingwith the interpretation and dissemination of findings. Candidatesare expected to also lead and support ongoing innovation objectivesof the unit in the field of health outcomes analysis which warrantshaving thought leadership skills. Candidates are expected to alsosupport ongoing thought leadership and innovation objectives of theunit in the field of advanced analytics including, but not limitedto: - Supervised and unsupervised learning - Variations in machinelearning algorithm development such as regression, classification,clustering, and dimensionality reduction - Variations of ensemblemethods such as boosting, bagging, and stacking to improve modelperformance - Deep learning - Super learners - Targeted learning -Target maximum likelihood estimation - Target trial emulation andother causal inference applications - Causal modelling - Predictivemodelling - Feature engineering - Natural language processing -Large language modelsNBCandidates to please note that VISAsponsorship is not supported for this role.#J-18808-Ljbffr
